Graphcore
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wav2vec2-ctc-base-ipu

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thorinf commited on Jul 27, 2022

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@@ -2,7 +2,7 @@
 license: apache-2.0
 ---
-# Graphcore/wav2vec2-base-ctc-ipu
 Optimum Graphcore is a new open-source library and toolkit that enables developers to access IPU-optimized models certified by Hugging Face. It is an extension of Transformers, providing a set of performance optimization tools enabling maximum efficiency to train and run models on Graphcore’s IPUs - a completely new kind of massively parallel processor to accelerate machine intelligence. Learn more about how to take train Transformer models faster with IPUs at [hf.co/hardware/graphcore](https://huggingface.co/hardware/graphcore).
@@ -25,4 +25,4 @@ This model contains just the `IPUConfig` files for finetuning the Wav2Vec2 base
 ```
 from optimum.graphcore import IPUConfig
-ipu_config = IPUConfig.from_pretrained("Graphcore/wav2vec2-base-ctc-ipu")

 license: apache-2.0
 ---
+# Graphcore/wav2vec2-ctc-base-ipu
 Optimum Graphcore is a new open-source library and toolkit that enables developers to access IPU-optimized models certified by Hugging Face. It is an extension of Transformers, providing a set of performance optimization tools enabling maximum efficiency to train and run models on Graphcore’s IPUs - a completely new kind of massively parallel processor to accelerate machine intelligence. Learn more about how to take train Transformer models faster with IPUs at [hf.co/hardware/graphcore](https://huggingface.co/hardware/graphcore).
 ```
 from optimum.graphcore import IPUConfig
+ipu_config = IPUConfig.from_pretrained("Graphcore/wav2vec2-ctc-base-ipu")